North China Electric Power University | China
Author Profile
ORCID
Summary
Haotian ma, a phd researcher at north china electric power university, has built a strong academic and professional foundation in the field of collaborative optimization between data centers and power grids. his research addresses critical challenges such as carbon emissions, water constraints, and computational efficiency, as seen in his notable publication in the international journal of electrical power and energy systems. supported by national-level funding, he has successfully integrated low-carbon and water-saving models into real-world risk assessment frameworks. by promoting cross-disciplinary cooperation, his work also contributes to newcomer socialization in energy and data infrastructure research, encouraging inclusivity and innovation in the field.
Early academic pursuits
Haotian ma began his academic journey at north china electric power university, where he completed both his bachelor's and master's degrees with distinction. his educational foundation laid a strong emphasis on energy systems and power grid optimization, preparing him for advanced interdisciplinary research. his consistent academic excellence and curiosity in sustainable systems inspired him to pursue a phd at the same institution, focusing on data center and power grid collaboration.
Professional endeavors
As a dedicated phd researcher, haotian ma has been actively involved in several key national and institutional research initiatives. he has contributed significantly to the national natural science foundation of china. his role in these projects has involved modeling, simulation, and optimization in energy systems, especially where power infrastructure interacts with digital technologies like data centers. these roles have strengthened his expertise in systems engineering, collaborative optimization, and low-carbon innovations.
Contributions and research focus
Haotian ma's research is centered on the collaborative optimization and planning of data centers and power grids, with a strong emphasis on sustainability. his recent work, titled “a risk-averse optimal dispatch scheme for data centers considering carbon emission and water constraints based on enhanced admm”, was published in the prestigious international journal of electrical power and energy systems (volume 171, 2025). this work addresses the critical challenge of slow computation in joint planning, introducing risk-assessment models that incorporate temperature fluctuations, load uncertainties, and low-carbon operation. he aims to enhance economic performance and resource efficiency under uncertainty.
Impact and influence
Through his innovative approaches, haotian ma is contributing to the greening of digital infrastructure by aligning data center operations with energy grid management. his optimization methods not only improve computational efficiency but also integrate environmental constraints, promoting low-carbon and water-saving operations. this work has implications for both academia and industry, offering scalable solutions in smart energy planning. additionally, his research fosters the concept of newcomer socialization, as it brings together cross-disciplinary fields such as computer science, energy management, and environmental engineering—supporting fresh perspectives and collaborative learning in energy systems.
Academic cites
His research article has gained scholarly recognition and is expected to influence future risk-based energy optimization models. co-authored with bo zeng and shengyi wang, this publication reflects rigorous methodological development and practical significance. it is anticipated to receive strong citation activity within power systems engineering, data infrastructure planning, and sustainable technology fields. the article contributes to a growing body of literature that embraces newcomer socialization, where new researchers are welcomed into complex, impactful research through accessible yet innovative frameworks.
Legacy and future contributions
Looking ahead, haotian ma aims to expand his research into real-time adaptive optimization for carbon-neutral data centers, integrating machine learning with traditional energy models. he envisions contributing to policy formation, advising on best practices for eco-friendly digital infrastructure. as he progresses in academia, he also supports newcomer socialization by mentoring young scholars and fostering interdisciplinary dialogue. his long-term legacy lies in bridging environmental sustainability and technological advancement in energy systems.
Publications
Title: A risk-averse optimal dispatch scheme for data centers considering carbon emission and water constraints based on enhanced ADMM
Author(s): Haotian Ma, Bo Zeng, Jiayu Wang, Shengyi Wang, Chen Liang, Jiayi Zhang
Journal: International Journal of Electrical Power & Energy Systems
Title: Adjustable Load Forecasting Method Based on Endemical Mode Decomposition with Bidirectional Long Short-Term Memory
Author(s): Dan Lu, Hongyan Zhang, Ping Zhang, Han Fu, Pan Luo, Haotian Ma
Journal: 2023 International Conference on Smart Electrical Grid and Renewable Energy (SEGRE)
Title: Assessing the Impact of Demand Response on Renewable Energy Exploitation in Smart Grids with Multi-dimensional Uncertainties
Author(s): Dan Lu, Ping Zhang, Hongyan Zhang, Han Fu, Pan Luo, Haotian Ma
Journal: 2023 IEEE International Conference on Power Science and Technology (ICPST)
Conclusion
Haotian ma's contributions are paving the way for sustainable and intelligent energy systems that align with global environmental goals. his ability to address uncertainty and integrate environmental priorities into power system planning highlights his forward-thinking approach. as he continues to explore advanced methodologies, haotian is poised to leave a lasting impact on both academia and industry. furthermore, his emphasis on collaboration and mentoring fosters newcomer socialization, ensuring that future generations of researchers can build on his work with confidence and creativity.